Experiential retail platform operating 650 stores across 20+ countries
Build-A-Bear Workshop operates a global network of ~650 physical stores built on Microsoft Dynamics 365, UKG workforce management, and a modern data stack (Kafka, Spark, dbt, Snowflake, Databricks). Current hiring is sales-heavy (16 of 25 open roles) at lead and mid levels, signaling expansion of store operations and customer-facing functions. Pain points cluster around labor forecasting, inventory optimization, and expense control—classic challenges for multi-location retail scaling across fragmented geographies.
Notable leadership hires: Sales Lead
Build-A-Bear Workshop is a public retailer founded in 1997, headquartered in St. Louis, Missouri, operating approximately 650 company-owned and franchise stores across North America, Europe, Asia, Australia, and the Middle East. The brand offers an experiential retail model where customers design and customize stuffed animals in-store. The company employs 5,001–10,000 associates and serves a predominantly family and children's customer base. Operations span store management, supply chain, visual merchandising, promotional logistics, and digital/omnichannel functions.
Microsoft Dynamics 365 for retail operations, UKG for workforce management, POS systems, Apache Kafka/Spark for data pipelines, dbt for transformations, Snowflake and Databricks for analytics, Salesforce for CRM, Power Platform and Azure suite for business applications.
St. Louis, Missouri. The company operates approximately 650 stores worldwide, including company-owned locations in the U.S., Canada, Ireland, France, Italy, Colombia, and the UK, plus franchise stores in Africa, Asia, Australia, Europe, Mexico, Middle East, and China.
Build-A-Bear Workshop's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.